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Invitation to Participate in Study: Technology Acceptance Model in the Cooperative Extension System on the Adoption of Customer Relationship Management Systems

Aaron Weibe ·
The general background of this research is that many Extension organizations are still evaluating the use of Customer Relationship Management (CRM) systems or are not currently considering adopting CRM technologies. This study examines where Extension organizations are in their adoption of CRM technologies and their perceptions and attitudes towards CRM adoption and implementation. The theoretical framework for this research is based on the technology acceptance model (TAM) to better...
Blog Post

New Research Publication Explores Technology Acceptance and CRM Technologies in Extension

Rose Hayden-Smith ·
The Extension Foundation released a new research publication titled " A Qualitative Investigation of the Technology Acceptance Model in the U.S. Cooperative Extension Service on the Adoption of Customer Relationship Management Systems ." Authored by Dr. Aaron Weibe, Extension Foundation's communication and engagement manager for his recently awarded PhD, the study delves into the Technology Acceptance Model (TAM) and its role in Extension adopting Customer Relationship Management (CRM)...
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About the Extension Foundation

The Extension Foundation was formed in 2006 by Extension Directors and Administrators. Today, the Foundation partners with Cooperative Extension through liaison roles and a formal plan of work with the Extension Committee on Organization and Policy (ECOP) to increase system capacity while providing programmatic services, and helping Extension programs scale and investigate new methods and models for implementing programs. The Foundation provides professional development to Cooperative Extension professionals and offers exclusive services to its members. In 2020 and 2021, the Extension Foundation has awarded 85% of its direct funding back to the Cooperative Extension System, 100% of funds are used to support Cooperative Extension initiatives. 

This technology is supported in part by New Technologies for Ag Extension (funding opportunity no. USDA-NIFA-OP-010186), grant no. 2023-41595-41325 from the USDA National Institute of Food and Agriculture. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the U.S. Department of Agriculture or the Extension Foundation. For more information, please visit extension.org. You can view the terms of useat extension.org/terms.

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